4-6 June 2018, Rennes, France


"Omics Tools for Research on EDs: a focus on metabolomics"
Arthur DAVID and Yann GUITTON

Humans can be exposed to a very high number of xenobiotics for which we do not have much information regarding their identity but also their toxicity and their potential as endocrine disruptors. Hence, recent advances in untargeted metabolomics-based approaches using LC or GC platforms coupled to high resolution mass spectrometry platforms offer exciting perspectives to study all the changes occurring at the metabolome level during the same analysis and therefore to study the potential deleterious effects associated with the exposure. During the course, we will first give a brief overview of what metabolomics is and how data generated by high resolution mass spectrometry and NMR technologies can be processed. Metabolomics data analysis is a multistep process, which is continuously evolving with the development of new analytical technologies, mathematical methods, and bioinformatics tools and databases. The Workflow4metabolomics (W4M, http://workflow4metabolomics.org) has been developed to provide a unique centralized, user-friendly, and high-performance environment to build, run, and share metabolomics workflows for LC-MS, GC-MS, and NMR technologies. We will quickly present the main functionalities available and focus on two key steps of the metabolomics workflows: statistical analysis and biomarkers annotation.

Note: To participate in this workshop, you have to come with your computer and create your account at: http://workflow4metabolomics.org/account

"Where's Waldo? Use of Databases for Chemical Safety Assessment and Prediction
of Potential Endocrine Disruptors"

Thomas DARDE

The multidisciplinary nature of toxicology involves a wide variety of types of data, which are typically dispersed in numerous distinct databases. Over recent years new tools and repositories have therefore emerged with the aim of centralizing heterogeneous information on chemicals and their respective toxicity. Such structuring is indeed essential to improve interpretation and make full use of available data. It is also a compulsory prerequisite to predictive toxicology, i.e. to alternative methods that integrate existing knowledge in order to predict toxicity and prioritize chemicals for further testing.

The purpose of this workshop will be to learn how to navigate through relevant databases and collect useful information for predictive toxicology purposes. We will further discuss the benefits and goals of such approaches, and we will illustrate these by a case study for the identification of new endocrine disruptors.

Note: To participate in this workshop, you have to come with your computer.


Updated on 31/05/2018